The XLSTAT non parametric tests list is quite complete. One essential feature is missing, though: the Wilcoxon one-sample test to compare the location of a sample to a hypothesized value.

It would be great if XLSTAT allows taking into account prohibited pairs in CBC designs.

Computing Monte-Carlo simulated p-values for t-tests or ANOVA is an interesting non-parametric approach to perform these tests using the real "raw" data instead of ranks. This approach is implemented in the coin package in R.

The inconsistency vector in AHP gives information about the inconsistency which must be linked to the multidimensionality of the method.

Bonjour, serait-il possible d'exploiter les Cartes de Kohonen ou Self Aggregating Maps à l'intérieur d'Xlstat?

The attached image speaks for itself: each pair of bars is a dependent variable in the context of a one-way ANOVA model (factor: sample with two levels). The factor has a significant effect on the output for Attribute 1.

For ANOVA analysis, there is an option to "sort up" the statistical lettering, so that the lowest mean is paired with a, the next lowest is paired with b, and so on (ex: 1.5a, 3.6b, 10.4c). If this option is not checked, the highest mean will be p...

We are very happy with your current network version but we would like an amelioration with this new feature to expand this usage.